{"id":14890,"date":"2013-03-14T14:27:37","date_gmt":"2013-03-14T14:27:37","guid":{"rendered":"http:\/\/d45h139.public.uconn.edu\/sites\/news\/?p=14890"},"modified":"2013-03-14T14:27:37","modified_gmt":"2013-03-14T14:27:37","slug":"nasa-grant-supports-satellite-data-uses-in-flood-modeling","status":"publish","type":"post","link":"https:\/\/today.uconn.edu\/2013\/03\/nasa-grant-supports-satellite-data-uses-in-flood-modeling\/","title":{"rendered":"NASA Grant Supports Satellite Data uses in Flood Modeling"},"content":{"rendered":"

\"manos2\"<\/a>When hydrologists forecast floods, they rely heavily on a combination of meteorological data, modeling tools and remote sensing observations.\u00a0 The accuracy of such forecasts is often quite good over data-rich regions. But predictions are more challenging in mountainous areas characterized by complex geographic features and inadequate ground observations.<\/p>\n

Dr. Emmanouil Anagnostou<\/span><\/a><\/span>, professor of Civil & Environmental Engineering and the Northeast Utilities Endowed Chair in Environmental Engineering, an internationally renowned expert in the area of hydrometeorology and precipitation remote sensing, was recently awarded a $360,000 grant from NASA to advance his research aimed at improving the use of satellite-derived rainfall data in hydrologic modeling of complex terrain basin floods.\u00a0 The work will build upon his extensive platform of ongoing hydro-meteorological experiments around the globe.<\/p>\n

In particular, his work will focus on the development of models that accurately predict flooding caused by heavy precipitation events in medium-size basins having complex terrains. Flooding in such locales is especially dangerous and poses a significant threat to human life and property.\u00a0 Dr. Anagnostou explains that he will incorporate Ground Validation (GV) products from his field experiments to enhance the quantitative accuracy of satellite-derived rainfall that will consequently improve flood prediction. \u00a0In NASA\u2019s lexicon (see Global Precipitation Measurement Mission<\/span><\/a><\/span>), hydrologic GV \u201cproducts\u201d include experimental observations from networks of dual-polarization weather radars, radar profilers, and in situ disdrometers and rain gauges.<\/p>\n

In geographic basins having steeply sloped hillsides and a mixture of vegetation, built landscape and soil types, flash floods can arise in a few hours, leaving little time to warn residents of impending danger. Dr. Anagnostou\u2019s NASA-funded work will focus squarely on such scenarios with the aim of developing improved high-resolution satellite rainfall estimates that would improve the efficiency of flood warning systems.\u00a0 He will also seek to understand, and develop corrections for, errors in current regional-scale flood basin models that often result from inaccurate satellite rainfall forcing and scale effects.\u00a0<\/p>\n

Read more about Dr. Anagnostou\u2019s work here<\/span><\/a><\/span> and here<\/span><\/a><\/span>. \u00a0<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Dr. Emmanouil Anagnostou, an internationally renowned expert in the area of hydrometeorology and precipitation remote sensing, was recently awarded a $360,000 grant from NASA to advance his research aimed at improving the use of satellite-derived rainfall data in hydrologic modeling of complex terrain basin floods. <\/p>\n","protected":false},"author":122,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"wds_primary_category":0,"wds_primary_series":0,"wds_primary_attribution":0,"footnotes":""},"categories":[1866],"tags":[],"magazine-issues":[],"coauthors":[39],"class_list":["post-14890","post","type-post","status-publish","format-standard","hentry","category-engr"],"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-06-27 21:34:22","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/posts\/14890","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/users\/122"}],"replies":[{"embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/comments?post=14890"}],"version-history":[{"count":0,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/posts\/14890\/revisions"}],"wp:attachment":[{"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/media?parent=14890"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/categories?post=14890"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/tags?post=14890"},{"taxonomy":"magazine-issue","embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/magazine-issues?post=14890"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/coauthors?post=14890"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}